Vitis-AI-Library

Vitis AI Library v1.4

Introduction

The Vitis AI Library is a set of high-level libraries and APIs built for efficient AI inference with Deep-Learning Processor Unit (DPU). It is built based on the Vitis AI Runtime with Unified APIs, and it fully supports XRT 2020.2.

The Vitis AI Library provides an easy-to-use and unified interface by encapsulating many efficient and high-quality neural networks. This simplifies the use of deep-learning neural networks, even for users without knowledge of deep-learning or FPGAs. The Vitis AI Library allows users to focus more on the development of their applications, rather than the underlying hardware.

For edge users, click Quick Start For Edge to get started quickly.

For cloud users, click Quick Start For Cloud to get started quickly.

Directory Structure Introduction

Vitis_AI_Library
├── apps
│   ├── multitask_v3_quad_windows
│   ├── seg_and_pose_detect
│   └── segs_and_roadline_detect
└── samples
    ├── 3Dsegmentation
    ├── bcc
    ├── centerpoint
    ├── classification
    ├── covid19segmentation
    ├── dpu_task
    ├── facedetect
    ├── facefeature
    ├── facelandmark
    ├── facequality5pt
    ├── graph_runner
    ├── hourglass
    ├── lanedetect
    ├── medicaldetection
    ├── medicalsegcell
    ├── medicalsegmentation
    ├── multitask
    ├── multitaskv3
    ├── openpose
    ├── platedetect
    ├── platenum
    ├── pmg
    ├── pointpainting
    ├── pointpillars
    ├── pointpillars_nuscenes
    ├── posedetect
    ├── rcan
    ├── refinedet
    ├── reid
    ├── retinaface
    ├── RGBDsegmentation
    ├── segmentation
    ├── ssd
    ├── tfssd
    ├── yolov2
    ├── yolov3
    └── yolov4

Quick Start For Edge

Setting Up the Host

For MPSOC, follow Setting Up the Host to set up the host for edge.
For VCK190, follow Setting Up the Host to set up the host for edge.

Setting Up the Target

For MPSOC, follow Setting Up the Target to set up the target.
For VCK190, follow Setting Up the Target to set up the target.

Running Vitis AI Library Examples

Follow Running Vitis AI Library Examples to run Vitis AI Library examples.

Note: When you update from VAI1.3 to VAI1.4, refer to the following to modify your compilation options.

1. For Petalinux 2021.1, it uses OpenCV4, and for Petalinux 2020.2, it uses OpenCV3. So set the OPENCV_FLAGS as needed. You can refer to the following.

result=0 && pkg-config --list-all | grep opencv4 && result=1
if [ $result -eq 1 ]; then
	OPENCV_FLAGS=$(pkg-config --cflags --libs-only-L opencv4)
else
	OPENCV_FLAGS=$(pkg-config --cflags --libs-only-L opencv)
fi

2. Include -lvitis_ai_library-dpu_task in the build script.

Quick Start For Cloud

Setting Up the Host for U50/U50lv/U280

Follow Setting Up the Host to set up the host for U50/U50lv/U280.

Setting Up the Host for VCK5000

Follow Setting Up the Host to set up the host for VCK5000.

Running Vitis AI Library Examples for U50/U50lv/U280/VCK5000

Follow Running Vitis AI Library Examples to run Vitis AI Library examples.

Setting Up the Host for U200/U250

For setting up the host for U200/U250 refer to README.

Running Vitis AI Library Examples for U200/U250

Demo samples are not supported for U200/U250. To run Vitis AI Library examples for U200/U250 refer to README.

Reference

For more information, please refer to vitis-ai-library-user-guide.